Global Data Warehouse as a Service Market (2021-2026)

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Dublin, August 25, 2021 (GLOBE NEWSWIRE) – The Global Data Warehouse as a Service Market with COVID-19 Impact by Application (Customer Analytics, Business Intelligence, Operational Analytics, Predictive Analytics), Vertical, Deployment Model, Type (EDWaaS and ODS) and Size of the organization – Forecast until 2026 “ report was added to ResearchAndMarkets.com offer.

The global Data Warehouse as a Service (DWaaS) market size is expected to grow at a compound annual growth rate (CAGR) of 22.3% during the forecast period, to reach USD 12.9 billion of by 2026 against 4.7 billion USD in 2021.

The key factors expected to drive the market growth are the increasing role of business intelligence and data analytics in business management, the growing reliance on data-driven decision making to improve company performance, and the requirement for regulatory and security governance.

The impact of COVID-19 on the global data warehouse as a service market

The recent economic downturn with the impact of COVID-19 emphasizes the need for alternative business systems. It has become important for businesses to embrace cloud computing and migrate to cloud data warehouses. This will help organizations to have a stable business position in the short term while targeting continued long term growth and expansion. Organizations across different verticals benefit from data warehouse services due to a variety of benefits, including higher availability, low latency, scalability, and enterprise-grade security.

Operational data storage segment will grow at a higher CAGR during the forecast period

Based on type, the market is segmented into two categories: enterprise data warehouse as a service and operational data storage. The operational data storage market is expected to grow at a higher CAGR during the forecast period. This growth is mainly due to the growing demand for real-time data analysis and reporting. Implementing ODS in an enterprise complements the existing data infrastructure and supports current and future business needs. In addition, the increasing use of AI in data warehouses is likely to offer future growth opportunities for the ODS segment. Companies operating in the DWaaS market provide advanced solutions to meet rapidly growing data volumes and to adhere to regulatory compliance mandates.

Public cloud segment will account for higher market share during the forecast period

The DWaaS market is segmented by type of public and private cloud deployment. The public cloud segment accounts for a higher share of the DWaaS market during the forecast period owing to the increased investment in mobility, collaboration and other remote working technologies and infrastructure. As the private cloud model is gaining popularity in organizations to overcome data security and privacy challenges.

Healthcare and Life Sciences Vertical Industry Expected to Grow at a Higher CAGR During the Forecast Period

Healthcare and Life Sciences is one of the fastest growing verticals as the sector is undergoing tremendous development, with technological advancements improving the overall vertical sector. The quality of the information and the interest in quality drug administration have gradually emerged. Initially, due to the complexity of the data and a variety of medical and clinical data, the adoption of DWaaS solutions in the healthcare industry was relatively slow. However, in recent years, the increase in the use of DWaaS solutions has proven to be useful in administrative and clinical fields. The vast amounts of data generated over the years have been used in a variety of fields, from improving patient health to testing pharmaceuticals.

North America will represent the highest market share during the forecast period

The DWaaS market is segmented into five regions: North America, Europe, APAC, MEA, and Latin America. The DWaaS report provides insights into these regional markets in terms of market size, growth rate, future trends, market drivers and impact of COVID-19. North America is expected to hold the highest market share in the global DWaaS market during the forecast period. After North America, Europe is expected to hold the second highest market share during the forecast period. the growth is mainly attributed to the presence of various developed economies, such as the United States (United States) and Canada, and the emphasis on innovations obtained from R&D and advanced technologies. The increased penetration of DWaaS solutions in several industrial sectors, such as manufacturing, healthcare and pharmaceuticals, as well as government and public sector, is driving the growth of this market in this region. PAC and MEA are also expected to experience high growth rates during the forecast period.

Main topics covered:

1. Introduction

2 Research methodology

3 Executive summary

4 premium information
4.1 Attractive Growth Opportunities in the Data Warehouse as a Service Market
4.2 Market, by Application, 2021 vs. 2026
4.3 Market, by Deployment Model, 2021
4.4 Market, by organization size, 2021
4.5 Market, by vertical, 2021 vs. 2026
4.6 Data Warehouse as a Service Market: Regional Scenario, 2021-2026

5 Market Snapshot and Industry Trends
5.1 Presentation
5.2 Market dynamics
5.2.1 Drivers
5.2.1.1 Growing role of Business Intelligence and data analysis in business management
5.2.1.2 Growing reliance on data-driven decision making to improve business performance
5.2.1.3 Regulatory and security governance requirement
5.2.2 Constraints
5.2.2.1 Lack of resources and expertise
5.2.2.2 High cost of implementation and complexity of using data warehouse services
5.2.3 Opportunities
5.2.3.1 Rapid deployment of large-scale cloud data warehouses
5.2.3.2 Increasing adoption of virtual data warehouse to speed up data access process
5.2.4 Challenges
5.2.4.1 Lack of an appropriate structure for access control
5.2.4.2 Ensuring acceptable data quality
5.3 Analysis of the case studies
5.3.1 Case study 2: Real-time analytics to improve data governance
5.3.2 Case Study: 3 Fast-Track Business Intelligence
5.4 Technological analysis
5.4.1 Artificial intelligence and machine learning
5.4.2 Cloud computing
5.4.3 Big Data and Analytics
5.5 Patent analysis
5.6 COVID-19 Induced Market Dynamics
5.6.1 Drivers and Opportunities
5.6.2 Constraints and challenges
5.7 Porter’s five forces analysis
5.8 Price analysis
5.9 Ecosystem
5.10 Value chain analysis

6 Data Warehouse as a Service Market, By Application
6.1 Presentation
6.1.1 Applications: market drivers
6.1.2 Applications: impact of COVID-19
6.2 Business intelligence
6.3 Customer analysis
6.4 Data modernization
6.5 Operational analysis
6.6 Predictive analysis

7 Data Warehouse as a Service Market, by Type
7.1 Presentation
7.1.1 Type: Market Drivers
7.1.2 Type: Impact of COVID-19
7.2 Enterprise data warehouse as a service
7.3 Storage of operational data

8 Data Warehouse as a Service Market, By Deployment Model
8.1 Presentation
8.1.1 Deployment model: market drivers
8.1.2 Deployment model: impact of COVID-19
8.2 Public cloud
8.3 Private cloud

9 Data Warehouse as a Service Market, By Organization Size
9.1 Presentation
9.1.1 Size of the organization: market drivers
9.1.2 Size of the organization: impact of COVID-19
9.2 Large companies
9.3 Small and medium-sized enterprises

10 Data Warehouse as a Service Market, By Vertical
10.1 Presentation
10.1.1 Vertical sectors: market drivers
10.1.2 Vertical sectors: impact of COVID-19
10.2 Banks, financial services and insurance
10.3 Energy and utilities
10.4 Government and public sector
10.5 Health and life sciences
10.6 He and his
10.7 Manufacturing
10.8 Media and entertainment
10.9 Retail trade and consumer goods
10.10 Telecommunications
10.11 Others

11 Data Warehouse as a Service Marketplace, by Region

12 Competitive landscape
12.1 Presentation
12.2 Market share of top suppliers
12.3 Historical Revenue Analysis of Major Suppliers
12.4 Company valuation quadrant
12.4.1 Definitions and methodology
12.4.2 Star
12.4.3 Emerging Leader
12.4.4 Omnipresent
12.4.5 Participant
12.5 SME assessment quadrant
12.5.1 Definitions and methodology
12.5.2 Progressive companies
12.5.3 Responsive companies
12.5.4 Dynamic businesses
12.5.5 Starting blocks
12.6 Competitive scenario

13 company profiles
13.1 Presentation
13.2 Key players
13.2.1 Aw
13.2.2 Ibm
13.2.3 Microsoft
13.2.4 Google
13.2.5 Oracle
13.2.6 Sap
13.2.7 Snowflake
13.2.8 Micro-debugging
13.2.9 Teradata
13.2.10 1010 Data
13.2.11 Cloudera
13.2.12 Pivot
13.2.13 yellow brick
13.2.14 Veeva Systems
13.2.15 Actian
13.2.16 Marklogic
13.2.17 Netavis software
13.2.18 Solver
13.3 Other players
13.3.1 Accur8 software
13.3.2 To scale
13.3.3 Set
13.3.4 Single store
13.3.5 Transdistortion

14 adjacent markets

15 Annex

For more information on this report, visit https://www.researchandmarkets.com/r/vc82rx

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